Keywords: Image Reconstruction, Parallel Imaging
Motivation: The short, but non-zero, time taken to switch between transmit and receive results in a dead-time gap in Zero Echo-Time (ZTE) imaging, which leads to substantial reconstruction artifacts.
Goal(s): Determine the missing data in the dead-time gap without any additional acquisition.
Approach: We reformulate the reconstruction problem as a nuclear norm minimization problem to implicitly fill the missing data through iterative reconstruction.
Results: The proposed method demonstrates that the missing data can be filled using low-rank without sacrificing image quality.
Impact: We present a method for filling the dead-time gap in ZTE imaging using low-rank that does not require the collection of additional data.
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